Selected stories from our work in distributed QA, AI, and SaaS. Client names are withheld to respect NDAs — the impact speaks for itself.
We stood up dedicated QA for a computer-vision product — covering data quality, model behavior, and edge cases that generic test plans miss — and tracked regressions version over version before they reached users.
A growing SaaS platform expanded coverage through a managed Oliant pod instead of hiring in-house — adding automation and release management so engineers could ship continuously.
Coordinated teams across Europe and APAC owned transaction-integrity testing end to end, with EU-compliant contracting and transparent reporting against strict SLAs.
What began as a single pilot grew into a long-term partnership — recruiting and training QA professionals as the customer's product and release cadence expanded.
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